Kennedy College Training Center

SAS BASE

Course Outline( 20 Hours, 4 hours per week, Every Saturday)

1. Accessing Data
   • Use FORMATTED, LIST and COLUMN input to read raw data files
   • Use INFILE statement options to control processing when reading raw data files
   • Use various components of an INPUT statement to process raw data files including column and line pointer controls, and trailing @ controls
   • Combine SAS data sets using the DATA step
2. Creating Data Structures
   • Create temporary and permanent SAS data sets
   • Create and manipulate SAS date values
   • Use DATA Step statements to export data to standard and comma delimited raw data files
   • Control which observations and variables in a SAS data set are processed and output
3. Managing Data
   • Investigate SAS data libraries using base SAS utility procedures
   • Sort observations in a SAS data set
   • Conditionally execute SAS statements
   • Use assignment statements in the DATA step
   • Modify variable attributes using options and statements in the DATA step
   • Accumulate sub-totals and totals using DATA step statements
   • Use SAS functions to manipulate character data, numeric data, and SAS date values
   • Use SAS functions to convert character data to numeric and vice versa
   • Process data using DO LOOPS
   • Process data using SAS arrays
4. Generating Reports
   • Generate list reports using the PRINT and REPORT procedures
   • Generate summary reports and frequency tables using base SAS procedures
   • Enhance reports through the use of labels, SAS formats, user-defined formats, titles, footnotes and SAS System reporting options
   • Generate HTML reports using ODS statements
5. Handling Errors
   • Identify and resolve programming logic errors
   • Recognize and correct syntax errors
   • Examine and resolve data errors

Instructor

Mr. Luo

• More than ten years of experience using SAS Base, SAS Stat and SAS Macro.
• Master of Science in Statistics with additional courses towards a M.Sc. in Epidemiology and Biostatistics.
• Professional experience conducting successful medical research design, data analysis and statistical model development
• Thorough knowledge of SPSS, SQL, S-plus, MS Excel, and MS Access
• Hands-on experience in statistical techniques including regression analysis, multivariate analysis, design of experiments, survival analysis, and categorical data analysis

Schedule

New Class starts at 10:00 am, Feb 20, 2010. 

 Online  Pre-Registration and Inquiry Form